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Found 6 papers, 0 papers with code
Smart To-Do : Automatic Generation of To-Do Items from Emails
Intelligent features in email service applications aim to increase productivity by helping people organize their folders, compose their emails and respond to pending tasks.
Smart To-Do: Automatic Generation of To-Do Items from Emails
Intelligent features in email service applications aim to increase productivity by helping people organize their folders, compose their emails and respond to pending tasks.
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
In this work, we introduce two privacy-preserving regularization methods for training language models that enable joint optimization of utility and privacy through (1) the use of a discriminator and (2) the inclusion of a triplet-loss term.
On Privacy and Confidentiality of Communications in Organizational Graphs
We propose a model that captures the correlation in the social network graph, and incorporates this correlation in the privacy calculations through Pufferfish privacy principles.
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels
In this work, we introduce two privacy-preserving regularization methods for training language models that enable joint optimization of utility and privacy through (1) the use of a discriminator and (2) the inclusion of a novel triplet-loss term.
Membership Inference on Word Embedding and Beyond
Indeed, our attack is a cheaper membership inference attack on text-generative models, which does not require the knowledge of the target model or any expensive training of text-generative models as shadow models.
